← Authors

Zongben Xu

25 papers · 2014–2026 · 8 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (8) πŸ—ΊοΈ Taxonomy Completionist (55) 🌈 Renaissance Researcher (5) 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (11) 🀝 Dynamic Duo (13) πŸ’Ž Century Club (24) πŸ”₯ Unstoppable (7) πŸš€ Conference Pioneer ⚑ Prolific Year (5) πŸ“ˆ Trend Setter ❓ The Questioner πŸ—ƒοΈ Keyword Collector (127)

Conferences

CVPR (7) NIPS (6) ICCV (4) AAAI (2) ECCV (2) ICML (2) JMLR (1) MICCAI (1)

Top co-authors

Deyu Meng (13) Jian Sun (10) Qian Zhao (9) Qi Xie (6) Xiang Gu (4) Wangmeng Zuo (3) Jun Shu (3) yan yang (3) Yao Wang (2) Lei Zhang (2)

Research topics

Optimization (1)

Keywords

image restoration (4) low-rank approximation (2) optimal transport (2) semi-supervised learning (2) transfer learning (2) domain adaptation (2) mixture of gaussian (2) deep neural network (2) convolutional neural network (2) adversarial learning (1) variational inference (1) domain generalization (1) image segmentation (1) continual learning (1) image generation (1) few-shot learning (1) semantic segmentation (1) background subtraction (1) subspace learning (1) compressive sensing (1)

Papers

G-IR: Geometric Image Representation for Learning AAAI 2026
Improving Memory Efficiency for Training KANs via Meta Learning ICML 2025
Blind Proximal Diffusion Model for Joint Image and Sensitivity Estimation in Parallel MRI MICCAI 2024
Learning an Explicit Hyper-parameter Prediction Function Conditioned on Tasks JMLR 2023
Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images ICCV 2023
Optimal Transport-Guided Conditional Score-Based Diffusion Model NIPS 2023
KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution ECCV 2022
Keypoint-Guided Optimal Transport with Applications in Heterogeneous Domain Adaptation NIPS 2022
Adversarial Reweighting for Partial Domain Adaptation NIPS 2021
Training Networks in Null Space of Feature Covariance for Continual Learning CVPR 2021
Spherical Space Domain Adaptation With Robust Pseudo-Label Loss CVPR 2020
Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution ECCV 2020
HyperAdam: A Learnable Task-Adaptive Adam for Network Training AAAI 2019
Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net CVPR 2019
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting NIPS 2019
Semi-Supervised Transfer Learning for Image Rain Removal CVPR 2019
Neural Diffusion Distance for Image Segmentation NIPS 2019
Should We Encode Rain Streaks in Video as Deterministic or Stochastic? ICCV 2017
Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization CVPR 2016
Deep ADMM-Net for Compressive Sensing MRI NIPS 2016
A Novel Sparsity Measure for Tensor Recovery ICCV 2015
Learning a Convolutional Neural Network for Non-Uniform Motion Blur Removal CVPR 2015
Low-Rank Matrix Factorization Under General Mixture Noise Distributions ICCV 2015
Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising CVPR 2014
Robust Principal Component Analysis with Complex Noise ICML 2014